Ning Sui
Bio
Research Program Overview
Driven by a commitment to excellence in teaching and fueled by my passion for education, my research program aims to enhance undergraduate students’ learning experiences and prepare them for future careers. Below are a few of our research focuses:
Course-Based Undergraduate Research (CURE): As part of the MCC Fellow Cohort 2024, I am developing a CURE lab course centered on malate dehydrogenase research. This research experience aims to promote students’ laboratory skills, knowledge comprehension, and most importantly, passion for biochemical research. We are also developing a comprehensive undergraduate research program focusing on skills and training in genotranscriptomics, proteomics, and metabolomics.
Scholarship of Teaching and Learning (SoTL) Studies: Our SoTL studies aim to improve student engagement and learning outcomes by designing case studies, introducing real-world applications, developing personalized learning, and exploring tools for informal and inquiry-based learning.
Integrative Teaching and Learning: With the rapid advancement of technology, such as AI and deep learning, higher education must be redesigned to prepare students for fast-evolving career needs. I collaborate with faculty from other fields (e.g., computer science, horticulture, ecology, education, etc.) in research and course design to equip students with the skills needed for their future careers.
Resource site for CURE, SoTL, active learning, and other educational tool (under construction)
Education
PhD Biology Duke University 2016
MS Biology Tsinghua University 2011
BS Biological Sciences and Technologies Tsinghua University 2008
Publications
- Statistical Power for Moderation in Three-Level Multisite Individual Randomized Trials and Consequences of Ignoring a Level of Nesting , American Journal of Evaluation (2026)
- Abstract 1542 Renovating Biochemistry Education with Generative AI: Tips for Instructors and Insights from Students , Journal of Biological Chemistry (2025)
- Pre-trained molecular language models with random functional group masking , npj Artificial Intelligence (2025)
- TouchWave: Exploring mmWave-Based Non-Contact Fingertip-Force Sensing in Activities of Daily Living , (2025)
- A Practical Guide to Power Analyses of Moderation Effects in Multisite Individual and Cluster Randomized Trials , The Journal of Experimental Education (2024)
- Ants: Attacking Spatial Temporal Graph Learning Networks Structurally , 2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024 (2024)
- CardiacRT-NN: Real-Time Detection of Cardiovascular Disease Using Self-attention CNN-LSTM for Embedded Systems , Lecture notes in computer science (2024)
- Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment , (2023)
- Real-Time Deep Learning Framework for Dermatology Image Classification on Low-Power Embedded Devices , 2023 13th International Conference on Information Science and Technology (ICIST) (2023)
- Structure and dynamics of the Arabidopsis O-fucosyltransferase SPINDLY , Nature Communications (2023)